diff --git a/studio/backend/core/inference/video.py b/studio/backend/core/inference/video.py
index 79d19c9306..9c15c3c9f0 100644
--- a/studio/backend/core/inference/video.py
+++ b/studio/backend/core/inference/video.py
@@ -120,9 +120,7 @@ def _is_trusted_video_repo(repo_id: str) -> bool:
 
 
 def _detect_load_family(
-    repo_id: str,
-    gguf_filename: Optional[str],
-    family_override: Optional[str],
+    repo_id: str, gguf_filename: Optional[str], family_override: Optional[str]
 ) -> Optional[VideoFamily]:
     """Family detection shared by validate_load_request and the load worker: the
     repo id first, then the picked filename -- a local directory or generically
@@ -660,9 +658,7 @@ class VideoBackend:
         mib_per_gb = 1000.0**3 / (1024.0 * 1024.0)
         if kind == "pipeline":
             model_dense_mib = (
-                int(sum(components) * mib_per_gb * dtype_scale)
-                if components is not None
-                else None
+                int(sum(components) * mib_per_gb * dtype_scale) if components is not None else None
             )
             companion_mib = None
         else:
diff --git a/studio/backend/core/training/diffusion_train_common.py b/studio/backend/core/training/diffusion_train_common.py
index 30b6ec727a..bdf53d5b6b 100644
--- a/studio/backend/core/training/diffusion_train_common.py
+++ b/studio/backend/core/training/diffusion_train_common.py
@@ -597,7 +597,7 @@ def _plan_cache_variants(
 # fallback. Over this budget the default falls back to per-step VAE encoding. A fixed
 # constant (rather than a psutil RAM fraction) keeps the gate dependency-free and identical
 # across hosts; it is deliberately conservative, well under a typical training host's RAM.
-_LATENT_CACHE_BUDGET_BYTES = 4 * 1024 ** 3  # 4 GiB
+_LATENT_CACHE_BUDGET_BYTES = 4 * 1024**3  # 4 GiB
 
 # Returned by the cache builders when the estimated cache exceeds the budget: the caller
 # keeps the VAE resident and encodes each step's latents in-loop. A distinct sentinel from
@@ -614,7 +614,9 @@ def _latent_cache_forced() -> bool:
 
 
 def _latent_cache_over_budget(
-    per_variant_bytes: int, total_variants: int, budget_bytes: Optional[int] = None
+    per_variant_bytes: int,
+    total_variants: int,
+    budget_bytes: Optional[int] = None,
 ) -> bool:
     """True when a cache of ``total_variants`` entries, each two fp32 tensors totalling
     ``per_variant_bytes``, is estimated to exceed ``budget_bytes``. ``per_variant_bytes`` is